tomilicuz — CS2 Stats
NO76561199115965614[U:1:1155699886]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 47.1% | 51.9% |
| Shot accuracy | 10.8% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 50.7% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like ZywOo 89% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | A | 23 | 13–10 | 57% | 0.01 |
 overpass | A | 22 | 14–8 | 64% | 0.02 |
 ancient | C | 19 | 8–11 | 42% | 0.01 |
 anubis | B | 14 | 7–7 | 50% | 0.00 |
 mirage | C | 8 | 3–5 | 38% | 0.00 |
 train | C | 7 | 3–4 | 43% | -0.04 |
 cache | C | 5 | 2–3 | 40% | -0.01 |
 dust2 | — | 1 | 0–1 | 0% | -0.01 |
 nuke | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 372 | 54% | 1.27 | 17.1 |
| Ancient | 346 | 46% | 1.14 | 16.6 |
| Inferno | 193 | 46% | 1.17 | 16.6 |
| Overpass | 188 | 65% | 1.34 | 18.6 |
| Mirage | 183 | 38% | 1.04 | 16.2 |
| Train | 117 | 55% | 1.14 | 16.0 |
| Dust2 | 58 | 43% | 1.06 | 16.0 |
| Cache | 38 | 50% | 1.14 | 17.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 16–19 | -0.03 | 28% | 29 Aug → | |
| anubis | 13–2 | 0.07 | 24% | 14 Aug → | |
| inferno | 13–10 | 0.03 | 25% | 13 Aug → | |
| inferno | 13–5 | 0.15 | 37% | 12 Aug → | |
| ancient | 11–13 | -0.03 | 9% | 7 Aug → | |
| anubis | 13–2 | -0.02 | 16% | 1 Aug → | |
| ancient | 13–7 | 0.03 | 10% | 31 Jul → | |
| cache | 10–13 | -0.03 | 15% | 28 Jul → | |
| mirage | 6–13 | -0.00 | 16% | 29 Jun → | |
| overpass | 8–13 | 0.01 | 18% | 13 Jun → | |
| overpass | 13–7 | -0.01 | 34% | 12 Jun → | |
| cache | 13–9 | -0.01 | 17% | 12 Jun → | |
| overpass | 16–14 | 0.01 | 18% | 11 Jun → | |
| cache | 13–16 | 0.00 | 13% | 29 May → | |
| cache | 4–13 | -0.02 | 19% | 27 May → | |
| ancient | 10–13 | 0.02 | 21% | 10 May → | |
| overpass | 10–13 | 0.04 | 19% | 9 May → | |
| cache | 13–8 | -0.01 | 20% | 9 May → | |
| ancient | 9–13 | -0.02 | 7% | 21 Apr → | |
| overpass | 22–19 | 0.05 | 27% | 13 Apr → | |
| ancient | 11–13 | 0.08 | 20% | 13 Apr → | |
| inferno | 6–13 | 0.01 | 23% | 1 Apr → | |
| inferno | 13–10 | 0.03 | 14% | 1 Apr → | |
| overpass | 16–13 | 0.01 | 22% | 31 Mar → | |
| inferno | 13–7 | -0.02 | 18% | 26 Mar → | |
| inferno | 13–11 | 0.02 | 23% | 26 Mar → | |
| overpass | 3–13 | -0.01 | 21% | 26 Mar → | |
| ancient | 13–7 | 0.06 | 22% | 18 Mar → | |
| inferno | 11–13 | -0.01 | 20% | 16 Mar → | |
| anubis | 13–8 | 0.03 | 19% | 12 Mar → | |
| overpass | 13–8 | 0.12 | 37% | 3 Mar → | |
| mirage | 13–7 | 0.08 | 18% | 25 Feb → | |
| anubis | 14–16 | 0.04 | 17% | 20 Feb → | |
| ancient | 10–13 | 0.03 | 18% | 16 Feb → | |
| ancient | 13–5 | -0.03 | 27% | 13 Feb → | |
| anubis | 13–11 | 0.03 | 17% | 8 Feb → | |
| inferno | 13–2 | 0.04 | 16% | 8 Feb → | |
| dust2 | 10–13 | -0.01 | 21% | 7 Feb → | |
| ancient | 13–2 | 0.04 | 25% | 6 Feb → | |
| inferno | 13–2 | -0.05 | 18% | 6 Feb → | |
| ancient | 3–13 | -0.01 | 21% | 1 Feb → | |
| overpass | 13–11 | 0.02 | 20% | 18 Jan → | |
| anubis | 7–13 | -0.04 | 16% | 17 Jan → | |
| mirage | 13–11 | 0.04 | 23% | 4 Jan → | |
| train | 7–13 | -0.07 | 7% | 2 Jan → | |
| overpass | 15–19 | 0.05 | 29% | 2 Jan → | |
| train | 13–11 | 0.01 | 24% | 1 Jan → | |
| ancient | 13–6 | 0.05 | 26% | 30 Dec → | |
| mirage | 10–13 | -0.06 | 21% | 22 Dec → | |
| inferno | 13–16 | 0.04 | 33% | 22 Dec → | |
| overpass | 13–10 | -0.04 | 16% | 21 Dec → | |
| train | 13–7 | -0.06 | 16% | 16 Dec → | |
| mirage | 7–13 | -0.05 | 15% | 16 Dec → | |
| inferno | 13–10 | 0.04 | 27% | 16 Dec → | |
| overpass | 13–7 | 0.04 | 16% | 11 Dec → | |
| overpass | 8–3 | -0.00 | 0% | 3 Dec → | |
| ancient | 16–14 | -0.03 | 20% | 30 Nov → | |
| ancient | 4–13 | -0.05 | 17% | 27 Nov → | |
| overpass | 10–13 | -0.01 | 12% | 21 Nov → | |
| inferno | 8–13 | -0.01 | 12% | 21 Nov → | |
| train | 13–7 | 0.00 | 18% | 2 Nov → | |
| ancient | 9–13 | 0.00 | 25% | 2 Nov → | |
| inferno | 14–16 | -0.01 | 32% | 25 Oct → | |
| overpass | 16–14 | 0.07 | 15% | 21 Oct → | |
| overpass | 13–6 | 0.07 | 24% | 28 Sept → | |
| overpass | 13–7 | -0.01 | 15% | 26 Sept → | |
| overpass | 9–13 | 0.01 | 30% | 25 Sept → | |
| train | 7–13 | -0.03 | 19% | 25 Sept → | |
| overpass | 10–13 | -0.03 | 12% | 6 Sept → | |
| ancient | 21–25 | -0.05 | 15% | 31 Aug → | |
| inferno | 8–9 | -0.04 | 32% | 24 Aug → | |
| overpass | 13–7 | -0.00 | 19% | 19 Aug → | |
| train | 12–16 | -0.04 | 22% | 7 Aug → | |
| overpass | 6–8 | 0.03 | 27% | 3 Aug → | |
| nuke | 2–13 | -0.08 | 21% | 26 Jul → | |
| overpass | 13–4 | 0.08 | 20% | 17 Jul → | |
| mirage | 13–7 | -0.01 | 21% | 7 Jul → | |
| inferno | 13–10 | -0.02 | 9% | 4 Jul → | |
| ancient | 13–9 | 0.06 | 20% | 29 Jun → | |
| inferno | 13–10 | 0.00 | 28% | 29 Jun → | |
| anubis | 9–13 | -0.03 | 9% | 27 Jun → | |
| anubis | 8–13 | -0.02 | 24% | 8 Jun → | |
| mirage | 7–13 | 0.00 | 23% | 3 Jun → | |
| anubis | 11–13 | -0.03 | 23% | 28 May → | |
| ancient | 10–13 | 0.01 | 29% | 26 May → | |
| inferno | 13–11 | 0.06 | 18% | 25 May → | |
| train | 3–13 | -0.06 | 33% | 24 May → | |
| inferno | 13–11 | 0.02 | 22% | 24 May → | |
| anubis | 13–11 | 0.02 | 22% | 20 May → | |
| anubis | 5–13 | -0.03 | 25% | 20 May → | |
| anubis | 13–11 | 0.02 | 14% | 17 May → | |
| anubis | 13–11 | -0.02 | 23% | 16 May → | |
| inferno | 9–13 | -0.07 | 8% | 16 May → | |
| mirage | 14–16 | 0.03 | 15% | 16 May → | |
| ancient | 13–6 | 0.05 | 21% | 14 May → | |
| inferno | 7–13 | -0.03 | 27% | 14 May → | |
| inferno | 6–13 | -0.04 | 17% | 7 May → | |
| inferno | 13–8 | 0.03 | 25% | 30 Apr → | |
| anubis | 17–19 | 0.02 | 12% | 29 Apr → | |
| inferno | 10–13 | 0.01 | 26% | 29 Apr → |
Match data via Leetify.
